Machine Learning Scientist

Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader…

Publié 10 Oct 2026

About HappyRobot HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate through voice and email - they make decisions, take action, and run operations autonomously across entire enterprise systems. Born in Y Combinator (S23) and backed by a16z, Base10, Prysm Capital and Eurazeo with over $200M raised, we power critical operations for global enterprises worldwide. Our platform is battle-tested in the most demanding environments, where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto. About the Role As a Customer Support Engineer , youʼll be on the front lines of our customer experience. Youʼll work directly with customers to quickly triage issues, debug problems, and ensure theyʼre getting the most out of HappyRobotʼs AI platform. This role is a hybrid between technical support and customer engineering: youʼll diagnose issues, design and test quick solutions, and collaborate closely with both engineering and product teams to make our platform even stronger. Youʼll also apply prompt engineering skills to help customers fine-tune their AI workers, ensuring accuracy, reliability, and speed across real-world logistics workflows. This role is ideal for someone with strong technical fundamentals who wants to grow into a more senior customer engineering or product-facing position over time. Tech Profile Comfortable Full-Stack: Python, React, TypeScript, Node.js. Experience managing APIs and integrations with third-party systems. Some exposure to infrastructure and cloud deployments. Familiarity with LLM prompting and tuning of voices/transcribers; eager to experiment and iterate. Strong debugging and problem-solving skills — quick at identifying the root cause of issues. Must Have Excellent …

Publié 9 Oct 2026

About the Role We’re looking for a product engineer who takes ownership of outcomes, not just assigned tasks. You’ll work across 4–5 products with different technology stacks, identify high-value problems, and carry solutions through design, implementation, testing, documentation, delivery, and operation. What You'll Do Understand our apps and the 0G stack well enough to improve the shared platform, not only one feature. Solve root causes and make durable decisions using shared systems instead of introducing band-aids or duplicated solutions. Own features end-to-end across UI, APIs, server logic, infrastructure, and deployment; do not stop at the layer you are most comfortable in. Build and improve AI-agent infrastructure, including LLM streaming, tool orchestration, sandboxed execution, and security boundaries around untrusted code. Understand wallet-based identity, signing, embedded and external wallets, and server-side authorization without conflating wallet connection with application access. Independently manage dependencies, reviews, blockers, and delivery while raising genuine product decisions and risks early. Raise the bar through meaningful tests, sharp PR reviews, and living documentation that stays true to the product. Be open to adopting new technologies, AI tools, and better working practices. Be reliable enough that when you own an area, the rest of the team can confidently focus on building and expanding other products. Treat “done” as delivered, verified, and operating—not merely coded or test-green. Run what you ship with structured logs, traces, metrics, dashboards, alerts, first-line technical support, optimization, and ongoing support for internal teams and external users. Technical background: Strong end-to-end TypeScript and React experience across client, server, API design, and serverless or edge runtimes. Remix, Next.js, Vite, and Cloudflare Workers experience is valuable. Experience building LLM-powered products beyond basic API calls, in…

Publié 8 Oct 2026